Wind Power Generation Forecasting Based on GRU Optimized by Sparrow Algorithm 1. GRU Principles RNNs are suitable for analyzing and processing time series data because they introduce a recurrent unit structure in the network, allowing internal connections between hidden units, which makes it possible to explore temporal relationships between non-continuous data. However, RNNs suffer from … Read more
Improved DV-Hop Localization Algorithm for Wireless Sensor Networks Based on Sparrow Algorithm Abstract: This article introduces the DV-Hop algorithm improved by the Sparrow algorithm. 1. Principles of the DV-Hop Algorithm The localization steps of the DV-Hop algorithm are as follows: (1) Each anchor node broadcasts its location information to neighboring nodes within its communication range. … Read more
Optimization of Wireless Sensor Network Coverage Based on Sparrow Algorithm Abstract: This article mainly introduces how to use the Sparrow algorithm for optimizing the coverage of Wireless Sensor Networks (WSN). 1. Wireless Sensor Network Node Model This article is primarily based on the 0/1 model for optimization. In a two-dimensional plane, the sensing range of … Read more
Projection Pursuit Model Based on Sparrow Algorithm Abstract: Projection pursuit (PP) is an emerging statistical method for processing and analyzing high-dimensional data. Its basic idea is to project high-dimensional data into a low-dimensional subspace and find projections that can reflect the structure or features of the original high-dimensional data in that subspace, thereby achieving the … Read more
Logistics Center Location Based on Sparrow Algorithm Abstract: This article mainly introduces the logistics center location algorithm based on the Sparrow algorithm. 1. Logistics Center Location Model The logistics center, as the core node of the logistics network, has a crucial impact on the efficiency, cost, and service level of the entire supply chain. A … Read more